学習プランのカバー

LLM personalization and memory

学習プラン

LLM personalization and memory

This learning plan is essential for AI engineers, ML practitioners, and developers who want to move beyond basic LLM usage to create truly intelligent, personalized applications. As businesses demand AI systems that understand context, remember user preferences, and adapt over time, the ability to implement memory systems and personalization techniques has become a critical competitive advantage in the AI space.

ByCommunity User
2 h 37 m
10 コース更新日 11 days ago
What Is ChatGPT Doing ... and Why Does It Work?LLM Fundamentals: Attention Is All You NeedAll About LLMs: The AI Revolution Explained10 sources

この学習プランの作成方法

このプランは、BeFreedの独自AIによって作成され、LLM personalization and memoryを簡単に学べるよう設計されています。トピックに関する詳細な調査に基づき、BeFreedユーザーによって実証された最も効果的な学習の旅に沿って構成されています。

各エピソードは、世界一流のソース(ベストセラー書籍、研究論文、専門家の知見)から抽出された、インパクトの高い簡潔なレッスンを提供します。これらが一体となって、LLM personalization and memoryをマスターするための洗練されながらもアクセスしやすい道を形成します。

学べること

  • Master the architecture of large language models, including transformers, attention mechanisms, and how they generate text probabilistically
  • Design sophisticated prompts and contexts that transform generic AI responses into personalized, expert-level interactions
  • Implement memory systems using RAG and vector databases to give LLMs long-term recall while reducing costs
  • Apply parameter-efficient fine-tuning techniques to adapt models for specific domains without massive computational resources
  • Build production-ready adaptive AI systems that learn from user interactions and evolve over time
  • Create personalized AI experiences that maintain context, remember preferences, and deliver consistently relevant responses

Master the fundamentals of how large language models work, from transformer architecture to attention mechanisms and probabilistic text generation.

What Is ChatGPT Doing ... and Why Does It Work? cover
What Is ChatGPT Doing ... and Why Does It Work?

In-depth analysis of ChatGPT's AI mechanisms and effectiveness

9 m
podcast cover
source 1source 2source 3source 4
6 sources
LLM Fundamentals: Attention Is All You Need

Deep dive into how ChatGPT and large language models actually work, from the revolutionary attention mechanism to probabilistic text generation. Perfect for understanding the core concepts behind modern AI.

9 m
podcast cover
Guide to Large Language Models (LLMs): Capabilities and ApplicationsA Survey of Large Language Models: Evolution, Architectures, Adaptation, Benchmarking, Applications, Challenges, and Societal ImplicationsLarge language models: an overview of foundational architectures, recent trends, and a new taxonomysource 4
6 sources
All About LLMs: The AI Revolution Explained

Lena and Eli break down everything about Large Language Models - from how ChatGPT predicts words to transformer architecture, real-world applications, and why understanding LLMs is essential for the future.

10 m

Learn to craft effective prompts and contexts that transform generic LLM responses into expert-level, personalized interactions tailored to specific needs.

Artificial Intelligence and Generative AI for Beginners cover
Artificial Intelligence and Generative AI for Beginners

Comprehensive guide to AI and generative AI for all skill levels.

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podcast cover
source 1source 2source 3Context Engineering for Large Language Models: A Tutorial
6 sources
Mastering Context Engineering for LLMs

Discover how to transform AI interactions from generic responses to expert-level collaboration through strategic context engineering. Learn the art of crafting conversational environments that unlock the true potential of language models.

24 m

Discover how to give LLMs long-term memory through Retrieval-Augmented Generation and vector databases, boosting accuracy while cutting costs dramatically.

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What is RAG? - Retrieval-Augmented Generation AI Explained - AWSWhat is Retrieval Augmented Generation (RAG)? - DatabricksRAG vs Traditional LLMs: Key Differences - Galileo AIIntroduction to RAG (Retrieval Augmented Generation) and Vector ...
6 sources
RAG vs LLMs: The AI Revolution Explained

Deep dive into Retrieval-Augmented Generation and vector databases - discover how RAG transforms AI accuracy by 13%, cuts costs 20x, and why it's replacing traditional LLMs in enterprise applications.

20 m
podcast cover
source 1RAG Architecture: Complete Guide to Retrieval-Augmented ...Reference Architecture : Retrieval Augmented Generation (RAG)Optimizing Chunking, Embedding, and Vectorization for Retrieval ...
6 sources
RAG & Vector Databases: Cloud Architecture Deep Dive

Master RAG implementation from chunking strategies to Kubernetes deployment patterns. Explore vector database selection, optimization techniques, and production-ready cloud architectures for enterprise AI systems.

23 m

Master parameter-efficient fine-tuning, domain adaptation, and production strategies to create truly personalized AI experiences that learn and evolve with users.

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Hooked

How tech companies create habit-forming products using the Hook Model.

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A Survey on Post-training of Large Language ModelsFine-tuning large language models for domain adaptation - NatureFine-tuning and Utilization Methods of Domain-specific LLMsPEFT, LoRA & QLoRA: Smarter, Faster Fine-Tuning for Domain LLMs
6 sources
AI Post-Training for Real-World Applications

Discover how businesses are transforming AI models for specific needs through parameter-efficient fine-tuning, domain adaptation, and practical implementation strategies that deliver measurable results.

10 m
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source 1source 2Create Custom Podcasts Tailored to Your Interests | Airout AIContxt - Personalized AI generated Podcasts
6 sources
AI Podcast Revolution: Your Personal Audio Future

Discover how AI is creating completely personalized podcast experiences tailored to your exact interests, learning style, and preferences. From custom content generation to intelligent recommendations, explore the cutting-edge technology transforming podcasting into intimate, individualized audio ex

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"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

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"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA
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117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw
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"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum
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"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC
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17

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore
platform
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"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful
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"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP
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"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon
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"It is great for me to learn something from the book without reading it."

@OojasSalunke
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"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn
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"Makes me feel smarter every time before going to work"

@Cashflowbubu
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"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn
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"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA
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12
likes
117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw
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"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum
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12
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108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC
platform
comments
254
likes
17

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore
platform
star
star
star
star
star

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful
platform
comments
96
likes
4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP
platform
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star
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star

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon
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comments
201
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"It is great for me to learn something from the book without reading it."

@OojasSalunke
platform
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"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn
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37
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483

"Makes me feel smarter every time before going to work"

@Cashflowbubu
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